HDAT9800 2024 Individual Assessment 2
Maggie Burmeister
2024-07-01
1 Prepare
1.1 Setup
1.2 Install package
if (!requireNamespace("rvest", quietly = TRUE)) install.packages("rvest")
if (!requireNamespace("knitr", quietly = TRUE)) install.packages("knitr")
if (!requireNamespace("httr", quietly = TRUE)) install.packages("httr")
if (!requireNamespace("readr", quietly = TRUE)) install.packages("readr")
if (!requireNamespace("tidyverse", quietly = TRUE)) install.packages("tidyverse")
if (!requireNamespace("Hmisc", quietly = TRUE)) install.packages("Hmisc")
if (!requireNamespace("details", quietly = TRUE)) install.packages("details")
if (!requireNamespace("paletteer", quietly = TRUE)) install.packages("paletteer", dependencies = TRUE)
if (!require(janitor)) install.packages("janitor", dependencies = TRUE)## Loading required package: janitor##
## Attaching package: 'janitor'## The following objects are masked from 'package:stats':
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## chisq.test, fisher.test## Loading required package: patchwork##
## Attaching package: 'dplyr'## The following objects are masked from 'package:stats':
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## intersect, setdiff, setequal, union## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ forcats 1.0.0 ✔ stringr 1.5.1
## ✔ ggplot2 3.5.1 ✔ tibble 3.2.1
## ✔ lubridate 1.9.3 ✔ tidyr 1.3.1
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## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors##
## Attaching package: 'Hmisc'
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## src, summarize
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## format.pval, units##
## Attaching package: 'rvest'
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## guess_encoding##
## Attaching package: 'rlang'
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## %@%, flatten, flatten_chr, flatten_dbl, flatten_int, flatten_lgl,
## flatten_raw, invoke, splice##
## Attaching package: 'gridExtra'
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## combine2 Task 1
2.1 Load and represent the dataset
# Read data from the the csv file
zigong <- readr::read_csv("C:/Users/maggi/OneDrive/Documents/GitHub/individual-marked-assessment-2-Maggie1910/zigong/dat.csv")## New names:
## Rows: 2008 Columns: 167
## ── Column specification
## ──────────────────────────────────────────────────────── Delimiter: "," chr
## (15): DestinationDischarge, admission.ward, admission.way, occupation, ... dbl
## (151): ...1, inpatient.number, visit.times, body.temperature, pulse, res... lgl
## (1): cholinesterase
## ℹ Use `spec()` to retrieve the full column specification for this data. ℹ
## Specify the column types or set `show_col_types = FALSE` to quiet this message.
## • `` -> `...1`2.2 Describe raw data
summarise_raw_data <- zigong %>%
describe()
details::details(
summary = 'Click to show result!',
summarise_raw_data
)Click to show result!
.
167 Variables 2008 Observations
--------------------------------------------------------------------------------
...1
n missing distinct Info Mean Gmd .05 .10
2008 0 2008 1 1004 669.7 101.4 201.7
.25 .50 .75 .90 .95
502.8 1004.5 1506.2 1807.3 1907.6
lowest : 1 2 3 4 5, highest: 2004 2005 2006 2007 2008
--------------------------------------------------------------------------------
inpatient.number
n missing distinct Info Mean Gmd .05 .10
2008 0 2008 1 797748 47374 733337 739576
.25 .50 .75 .90 .95
763165 798758 829400 858540 864183
lowest : 722128 723327 723617 724385 725509, highest: 870258 870646 879601 905163 905720
--------------------------------------------------------------------------------
DestinationDischarge
n missing distinct
2008 0 4
Value Died HealthcareFacility Home
Frequency 14 438 1344
Proportion 0.007 0.218 0.669
Value Unknown
Frequency 212
Proportion 0.106
--------------------------------------------------------------------------------
admission.ward
n missing distinct
2008 0 4
Value Cardiology GeneralWard ICU Others
Frequency 1547 265 15 181
Proportion 0.770 0.132 0.007 0.090
--------------------------------------------------------------------------------
admission.way
n missing distinct
2008 0 2
Value Emergency NonEmergency
Frequency 956 1052
Proportion 0.476 0.524
--------------------------------------------------------------------------------
occupation
n missing distinct
1981 27 5
Value farmer Officer Others UrbanResident
Frequency 198 7 89 1670
Proportion 0.100 0.004 0.045 0.843
Value worker
Frequency 17
Proportion 0.009
--------------------------------------------------------------------------------
discharge.department
n missing distinct
2008 0 4
Value Cardiology GeneralWard ICU Others
Frequency 1703 241 12 52
Proportion 0.848 0.120 0.006 0.026
--------------------------------------------------------------------------------
visit.times
n missing distinct Info Mean Gmd
2008 0 5 0.205 1.093 0.1741
Value 1 2 3 4 5
Frequency 1860 120 20 6 2
Proportion 0.926 0.060 0.010 0.003 0.001
For the frequency table, variable is rounded to the nearest 0
--------------------------------------------------------------------------------
gender
n missing distinct
2008 0 2
Value Female Male
Frequency 1163 845
Proportion 0.579 0.421
--------------------------------------------------------------------------------
body.temperature
n missing distinct Info Mean Gmd .05 .10
2008 0 33 0.981 36.42 0.4083 36.0 36.0
.25 .50 .75 .90 .95
36.2 36.3 36.5 36.8 37.1
lowest : 35 35.5 36 36.1 36.2, highest: 38.6 38.9 39 39.1 42
--------------------------------------------------------------------------------
pulse
n missing distinct Info Mean Gmd .05 .10
2008 0 123 1 85.24 23.76 55.35 60.00
.25 .50 .75 .90 .95
70.00 82.00 98.00 113.00 123.00
lowest : 0 32 33 35 36, highest: 168 172 180 190 198
--------------------------------------------------------------------------------
respiration
n missing distinct Info Mean Gmd .05 .10
2008 0 19 0.899 19.09 1.501 18 18
.25 .50 .75 .90 .95
18 19 19 21 22
Value 0 15 16 17 18 19 20 21 22 23 24
Frequency 1 3 2 48 798 662 254 100 72 19 18
Proportion 0.000 0.001 0.001 0.024 0.397 0.330 0.126 0.050 0.036 0.009 0.009
Value 25 26 27 28 29 30 32 36
Frequency 11 5 2 5 1 2 3 2
Proportion 0.005 0.002 0.001 0.002 0.000 0.001 0.001 0.001
For the frequency table, variable is rounded to the nearest 0
--------------------------------------------------------------------------------
systolic.blood.pressure
n missing distinct Info Mean Gmd .05 .10
2008 0 122 0.998 131.1 27.51 94.0 100.0
.25 .50 .75 .90 .95
113.0 130.0 146.2 162.0 174.0
lowest : 0 50 68 72 73, highest: 205 209 210 232 252
--------------------------------------------------------------------------------
diastolic.blood.pressure
n missing distinct Info Mean Gmd .05 .10
2008 0 80 0.994 76.57 15.97 58 60
.25 .50 .75 .90 .95
65 76 85 96 100
lowest : 0 30 33 40 46, highest: 120 123 125 130 146
--------------------------------------------------------------------------------
map
n missing distinct Info Mean Gmd .05 .10
2008 0 219 1 94.73 18.04 71.33 75.23
.25 .50 .75 .90 .95
83.33 93.33 104.67 116.00 123.33
lowest : 0 36.6667 44.6667 50.6667 60
highest: 148.333 149.333 150 150.667 181.333
--------------------------------------------------------------------------------
weight
n missing distinct Info Mean Gmd .05 .10
2008 0 86 0.997 52.48 11.84 40.00 40.00
.25 .50 .75 .90 .95
45.00 50.00 60.00 67.15 72.82
lowest : 0 8 30 31 31.5, highest: 91 92 95 96 115
--------------------------------------------------------------------------------
height
n missing distinct Info Mean Gmd .05 .10
2008 0 51 0.991 1.568 0.09624 1.45 1.48
.25 .50 .75 .90 .95
1.50 1.56 1.62 1.70 1.70
lowest : 0.35 0.48 0.6 1.2 1.25, highest: 1.77 1.78 1.79 1.8 1.83
--------------------------------------------------------------------------------
BMI
n missing distinct Info Mean Gmd .05 .10
2008 0 661 1 21.79 5.309 16.22 16.99
.25 .50 .75 .90 .95
18.49 20.76 23.44 26.44 28.62
lowest : 0 3.4626 13.0612 13.3195 13.3333
highest: 37.551 39.1111 138.889 212.674 404.082
--------------------------------------------------------------------------------
type.of.heart.failure
n missing distinct
2008 0 3
Value Both Left Right
Frequency 1480 477 51
Proportion 0.737 0.238 0.025
--------------------------------------------------------------------------------
NYHA.cardiac.function.classification
n missing distinct
2008 0 3
Value II III IV
Frequency 353 1039 616
Proportion 0.176 0.517 0.307
--------------------------------------------------------------------------------
Killip.grade
n missing distinct
2008 0 4
Value I II III IV
Frequency 527 1029 392 60
Proportion 0.262 0.512 0.195 0.030
--------------------------------------------------------------------------------
myocardial.infarction
n missing distinct Info Sum Mean Gmd
2008 0 2 0.198 143 0.07122 0.1324
--------------------------------------------------------------------------------
congestive.heart.failure
n missing distinct Info Sum Mean Gmd
2008 0 2 0.189 1872 0.9323 0.1263
--------------------------------------------------------------------------------
peripheral.vascular.disease
n missing distinct Info Sum Mean Gmd
2008 0 2 0.143 101 0.0503 0.09559
--------------------------------------------------------------------------------
cerebrovascular.disease
n missing distinct Info Sum Mean Gmd
2008 0 2 0.207 150 0.0747 0.1383
--------------------------------------------------------------------------------
dementia
n missing distinct Info Sum Mean Gmd
2008 0 2 0.162 115 0.05727 0.108
--------------------------------------------------------------------------------
Chronic.obstructive.pulmonary.disease
n missing distinct Info Sum Mean Gmd
2008 0 2 0.308 233 0.116 0.2052
--------------------------------------------------------------------------------
connective.tissue.disease
n missing distinct Info Sum Mean Gmd
2008 0 2 0.006 4 0.001992 0.003978
--------------------------------------------------------------------------------
peptic.ulcer.disease
n missing distinct Info Sum Mean Gmd
2006 2 2 0.066 45 0.02243 0.04388
--------------------------------------------------------------------------------
diabetes
n missing distinct Info Sum Mean Gmd
2008 0 2 0.535 466 0.2321 0.3566
--------------------------------------------------------------------------------
moderate.to.severe.chronic.kidney.disease
n missing distinct Info Sum Mean Gmd
2006 2 2 0.541 474 0.2363 0.3611
--------------------------------------------------------------------------------
hemiplegia
n missing distinct Info Sum Mean Gmd
2008 0 2 0.018 12 0.005976 0.01189
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leukemia
n missing distinct Info Mean Gmd
2008 0 1 0 0 0
Value 0
Frequency 2008
Proportion 1
--------------------------------------------------------------------------------
malignant.lymphoma
n missing distinct Info Sum Mean Gmd
2008 0 2 0.001 1 0.000498 0.000996
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solid.tumor
n missing distinct Info Sum Mean Gmd
2008 0 2 0.057 39 0.01942 0.03811
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liver.disease
n missing distinct Info Sum Mean Gmd
2007 1 2 0.12 84 0.04185 0.08024
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AIDS
n missing distinct Info Sum Mean Gmd
2008 0 2 0.006 4 0.001992 0.003978
--------------------------------------------------------------------------------
CCI.score
n missing distinct Info Mean Gmd
2003 5 7 0.894 1.862 1.024
Value 0 1 2 3 4 5 6
Frequency 56 770 699 368 94 15 1
Proportion 0.028 0.384 0.349 0.184 0.047 0.007 0.000
For the frequency table, variable is rounded to the nearest 0
--------------------------------------------------------------------------------
type.II.respiratory.failure
n missing distinct
2008 0 2
Value NonTypeII TypeII
Frequency 1894 114
Proportion 0.943 0.057
--------------------------------------------------------------------------------
consciousness
n missing distinct
2008 0 4
Value Clear Nonresponsive ResponsiveToPain
Frequency 1974 11 4
Proportion 0.983 0.005 0.002
Value ResponsiveToSound
Frequency 19
Proportion 0.009
--------------------------------------------------------------------------------
eye.opening
n missing distinct Info Mean Gmd
2008 0 4 0.061 3.964 0.07163
Value 1 2 3 4
Frequency 14 3 25 1966
Proportion 0.007 0.001 0.012 0.979
For the frequency table, variable is rounded to the nearest 0
--------------------------------------------------------------------------------
verbal.response
n missing distinct Info Mean Gmd
2008 0 5 0.064 4.94 0.1175
Value 1 2 3 4 5
Frequency 14 8 18 4 1964
Proportion 0.007 0.004 0.009 0.002 0.978
For the frequency table, variable is rounded to the nearest 0
--------------------------------------------------------------------------------
movement
n missing distinct Info Mean Gmd
2008 0 6 0.071 5.927 0.1431
Value 1 2 3 4 5 6
Frequency 22 1 2 2 22 1959
Proportion 0.011 0.000 0.001 0.001 0.011 0.976
For the frequency table, variable is rounded to the nearest 0
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respiratory.support.
n missing distinct
2008 0 3
Value IMV NIMV None
Frequency 25 17 1966
Proportion 0.012 0.008 0.979
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oxygen.inhalation
n missing distinct
2008 0 2
Value AmbientAir OxygenTherapy
Frequency 110 1898
Proportion 0.055 0.945
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fio2
n missing distinct Info Mean Gmd .05 .10
2008 0 15 0.326 32.67 2.406 21 33
.25 .50 .75 .90 .95
33 33 33 33 33
Value 21 29 33 35 40 41 45 50 53 54 55
Frequency 110 71 1760 1 22 26 3 2 1 2 1
Proportion 0.055 0.035 0.876 0.000 0.011 0.013 0.001 0.001 0.000 0.001 0.000
Value 60 61 80 100
Frequency 3 1 1 4
Proportion 0.001 0.000 0.000 0.002
For the frequency table, variable is rounded to the nearest 0
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acute.renal.failure
n missing distinct Info Sum Mean Gmd
2008 0 2 0.01 7 0.003486 0.006951
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LVEF
n missing distinct Info Mean Gmd .05 .10
635 1373 66 0.999 50.68 15.09 28.0 33.0
.25 .50 .75 .90 .95
41.0 51.0 61.0 68.0 70.3
lowest : 5 16 17 19 20, highest: 76 78 79 81 82
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left.ventricular.end.diastolic.diameter.LV
n missing distinct Info Mean Gmd .05 .10
1311 697 63 0.999 53.11 12.19 37 40
.25 .50 .75 .90 .95
45 53 60 68 73
lowest : 0.3 0.93 22 28 29 , highest: 83 85 86 87 88
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mitral.valve.EMS
n missing distinct Info Mean Gmd .05 .10
980 1028 199 1 4.85 7.987 0.4600 0.5400
.25 .50 .75 .90 .95
0.7675 1.0100 1.2800 1.6530 2.1000
Value 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 36.0 44.0 401.0
Frequency 65 399 389 75 27 9 3 2 1 1 2
Proportion 0.066 0.407 0.397 0.077 0.028 0.009 0.003 0.002 0.001 0.001 0.002
Value 403.0 405.0 406.0 407.0 408.0 409.0
Frequency 1 2 1 1 1 1
Proportion 0.001 0.002 0.001 0.001 0.001 0.001
For the frequency table, variable is rounded to the nearest 0.5
--------------------------------------------------------------------------------
mitral.valve.AMS
n missing distinct Info Mean Gmd .05 .10
550 1458 133 1 4.087 6.806 0.3645 0.4300
.25 .50 .75 .90 .95
0.5900 0.8300 1.0500 1.2400 1.3765
lowest : 0.06 0.1 0.12 0.25 0.27, highest: 40 99 401 406 408
--------------------------------------------------------------------------------
EA
n missing distinct Info Mean Gmd .05 .10
393 1615 309 1 1.29 0.9238 0.4492 0.5150
.25 .50 .75 .90 .95
0.6560 0.9800 1.6060 2.3240 2.7958
lowest : 0.0616 0.073 0.083 0.275 0.295 , highest: 3.56 3.758 4 7 21.3
--------------------------------------------------------------------------------
tricuspid.valve.return.velocity
n missing distinct Info Mean Gmd .05 .10
790 1218 102 0.997 2.991 0.6761 2.100 2.300
.25 .50 .75 .90 .95
2.600 2.900 3.348 3.737 4.005
lowest : 0.9 1.1 1.2 1.3 1.36, highest: 4.9 5 5.1 5.26 5.76
--------------------------------------------------------------------------------
tricuspid.valve.return.pressure
n missing distinct Info Mean Gmd .05 .10
182 1826 58 0.999 35.91 14.95 18.00 22.00
.25 .50 .75 .90 .95
27.25 34.00 43.00 53.90 58.95
lowest : 1.7 2.1 3 7 14 , highest: 63 64 81 82 87
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outcome.during.hospitalization
n missing distinct
2008 0 3
Value Alive Dead DischargeAgainstOrder
Frequency 1890 11 107
Proportion 0.941 0.005 0.053
--------------------------------------------------------------------------------
death.within.28.days
n missing distinct Info Sum Mean Gmd
2008 0 2 0.054 37 0.01843 0.03619
--------------------------------------------------------------------------------
re.admission.within.28.days
n missing distinct Info Sum Mean Gmd
2008 0 2 0.195 140 0.06972 0.1298
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death.within.3.months
n missing distinct Info Sum Mean Gmd
2008 0 2 0.061 42 0.02092 0.04098
--------------------------------------------------------------------------------
re.admission.within.3.months
n missing distinct Info Sum Mean Gmd
2008 0 2 0.56 498 0.248 0.3732
--------------------------------------------------------------------------------
death.within.6.months
n missing distinct Info Sum Mean Gmd
2008 0 2 0.083 57 0.02839 0.05519
--------------------------------------------------------------------------------
re.admission.within.6.months
n missing distinct Info Sum Mean Gmd
2008 0 2 0.71 773 0.385 0.4738
--------------------------------------------------------------------------------
time.of.death..days.from.admission.
n missing distinct Info Mean Gmd .05 .10
44 1964 23 0.987 29.52 47.31 1.00 2.00
.25 .50 .75 .90 .95
2.00 4.50 18.75 46.90 211.60
lowest : 1 2 3 4 5, highest: 52 62 238 269 350
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re.admission.time..days.from.admission.
n missing distinct Info Mean Gmd .05 .10
901 1107 311 1 126.7 124.9 16 22
.25 .50 .75 .90 .95
42 83 166 286 369
lowest : 1 2 4 5 6, highest: 757 795 824 888 2280
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return.to.emergency.department.within.6.months
n missing distinct Info Sum Mean Gmd
2007 1 2 0.711 775 0.3861 0.4743
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time.to.emergency.department.within.6.months
n missing distinct Info Mean Gmd .05 .10
897 1111 311 1 126.7 124.9 16.0 21.6
.25 .50 .75 .90 .95
42.0 83.0 166.0 286.0 369.0
lowest : 1 2 4 5 6, highest: 757 795 824 888 2280
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creatinine.enzymatic.method
n missing distinct Info Mean Gmd .05 .10
1985 23 1117 1 108.9 67.4 47.00 53.24
.25 .50 .75 .90 .95
64.90 87.10 122.70 180.00 246.80
lowest : 27.6 28.4 29.6 29.7 30.5 , highest: 636.8 653.6 689.8 897.1 963.4
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urea
n missing distinct Info Mean Gmd .05 .10
1985 23 1098 1 9.565 5.581 3.822 4.520
.25 .50 .75 .90 .95
5.900 8.030 11.540 16.578 21.106
lowest : 1.58 1.71 1.73 1.86 1.87 , highest: 37.15 37.18 41.47 44.8 45.63
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uric.acid
n missing distinct Info Mean Gmd .05 .10
1985 23 626 1 483 186.5 255.0 294.0
.25 .50 .75 .90 .95
361.0 458.0 572.0 717.6 802.8
lowest : 62 129 131 140 142, highest: 1116 1135 1225 1254 1409
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glomerular.filtration.rate
n missing distinct Info Mean Gmd .05 .10
1945 63 1754 1 68.66 40.1 17.40 25.88
.25 .50 .75 .90 .95
41.60 64.79 90.12 115.00 133.61
lowest : 3.13 3.62 4.3 4.62 5 , highest: 235.59 245.52 257.67 259.51 281.01
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cystatin
n missing distinct Info Mean Gmd .05 .10
1967 41 372 1 1.843 0.9508 0.880 1.010
.25 .50 .75 .90 .95
1.210 1.550 2.200 3.094 3.710
lowest : 0.23 0.36 0.54 0.57 0.58 , highest: 6.16 6.35 6.57 7.06 10.37
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white.blood.cell
n missing distinct Info Mean Gmd .05 .10
1981 27 878 1 7.308 3.484 3.36 4.07
.25 .50 .75 .90 .95
5.07 6.50 8.67 11.40 13.55
lowest : 1.66 1.69 1.82 2.14 2.18 , highest: 26.04 26.31 28.14 31.46 32.79
--------------------------------------------------------------------------------
monocyte.ratio
n missing distinct Info Mean Gmd .05 .10
1981 27 151 1 0.06864 0.02856 0.031 0.039
.25 .50 .75 .90 .95
0.052 0.066 0.082 0.101 0.115
lowest : 0.002 0.004 0.005 0.006 0.007, highest: 0.182 0.184 0.233 0.241 0.27
--------------------------------------------------------------------------------
monocyte.count
n missing distinct Info Mean Gmd .05 .10
1981 27 143 1 0.4748 0.2498 0.19 0.24
.25 .50 .75 .90 .95
0.32 0.42 0.57 0.79 0.92
lowest : 0.01 0.02 0.03 0.04 0.05, highest: 1.98 2 2.03 2.24 2.33
--------------------------------------------------------------------------------
red.blood.cell
n missing distinct Info Mean Gmd .05 .10
1981 27 374 1 3.856 0.8353 2.52 2.91
.25 .50 .75 .90 .95
3.43 3.89 4.31 4.73 5.01
lowest : 0.89 0.9 0.91 1.02 1.05, highest: 6.62 6.72 6.78 7 7.02
--------------------------------------------------------------------------------
coefficient.of.variation.of.red.blood.cell.distribution.width
n missing distinct Info Mean Gmd .05 .10
1978 30 116 0.999 14.92 2.027 12.8 13.1
.25 .50 .75 .90 .95
13.6 14.4 15.6 17.4 19.0
lowest : 11.8 11.9 12 12.1 12.2, highest: 24.7 25 25.5 27.3 29.9
--------------------------------------------------------------------------------
standard.deviation.of.red.blood.cell.distribution.width
n missing distinct Info Mean Gmd .05 .10
1978 30 306 1 48.84 6.521 40.79 42.70
.25 .50 .75 .90 .95
45.10 47.80 51.40 55.90 59.21
lowest : 32.3 32.9 33.2 33.5 33.9, highest: 88.1 89.1 91.3 94.1 98
--------------------------------------------------------------------------------
mean.corpuscular.volume
n missing distinct Info Mean Gmd .05 .10
1980 28 410 1 92.02 9.237 72.70 81.69
.25 .50 .75 .90 .95
88.80 93.30 96.90 100.90 103.80
lowest : 57.8 58.7 59.9 60.4 61.2 , highest: 119.8 120.3 120.4 121.1 135.8
--------------------------------------------------------------------------------
hematocrit
n missing distinct Info Mean Gmd .05 .10
1980 28 341 1 0.3529 0.07599 0.2310 0.2590
.25 .50 .75 .90 .95
0.3150 0.3590 0.3980 0.4301 0.4530
lowest : 0.094 0.095 0.097 0.099 0.104, highest: 0.585 0.586 0.591 0.595 0.605
--------------------------------------------------------------------------------
lymphocyte.count
n missing distinct Info Mean Gmd .05 .10
1981 27 261 1 1.032 0.6135 0.33 0.41
.25 .50 .75 .90 .95
0.62 0.93 1.29 1.73 2.06
lowest : 0.08 0.1 0.14 0.15 0.16, highest: 4.76 5.36 5.73 6.57 6.69
--------------------------------------------------------------------------------
mean.hemoglobin.volume
n missing distinct Info Mean Gmd .05 .10
1980 28 193 1 29.93 3.587 22.2 25.3
.25 .50 .75 .90 .95
28.7 30.6 32.0 33.3 34.3
lowest : 15.6 17.5 17.6 17.7 17.8, highest: 38.9 39 39.4 41 45.3
--------------------------------------------------------------------------------
mean.hemoglobin.concentration
n missing distinct Info Mean Gmd .05 .10
1981 27 95 0.999 324.8 15.02 300 308
.25 .50 .75 .90 .95
318 326 334 340 345
lowest : 252 254 257 264 266, highest: 357 359 360 362 363
--------------------------------------------------------------------------------
mean.platelet.volume
n missing distinct Info Mean Gmd .05 .10
1905 103 92 1 12.11 1.928 9.50 9.90
.25 .50 .75 .90 .95
10.90 12.10 13.30 14.36 15.10
lowest : 7.7 7.8 8 8.1 8.2 , highest: 16.8 16.9 17 17.1 17.6
--------------------------------------------------------------------------------
basophil.ratio
n missing distinct Info Mean Gmd .05 .10
1981 27 28 0.983 0.004592 0.003382 0.001 0.001
.25 .50 .75 .90 .95
0.002 0.004 0.006 0.008 0.011
lowest : 0 0.001 0.002 0.003 0.004, highest: 0.024 0.027 0.028 0.043 0.063
--------------------------------------------------------------------------------
basophil.count
n missing distinct Info Mean Gmd .05 .10
1981 27 27 0.961 0.03114 0.02347 0.01 0.01
.25 .50 .75 .90 .95
0.02 0.03 0.04 0.06 0.07
lowest : 0 0.01 0.02 0.03 0.04, highest: 0.22 0.23 0.24 0.28 0.73
--------------------------------------------------------------------------------
eosinophil.ratio
n missing distinct Info Mean Gmd .05 .10
1981 27 128 0.998 0.01851 0.02326 0.000 0.001
.25 .50 .75 .90 .95
0.003 0.009 0.022 0.041 0.065
lowest : 0 0.001 0.002 0.003 0.004, highest: 0.23 0.274 0.276 0.3 0.62
--------------------------------------------------------------------------------
eosinophil.count
n missing distinct Info Mean Gmd .05 .10
1981 27 97 0.995 0.1193 0.1523 0.00 0.00
.25 .50 .75 .90 .95
0.02 0.06 0.13 0.27 0.40
lowest : 0 0.01 0.02 0.03 0.04, highest: 1.79 2.16 2.52 3.26 6.58
--------------------------------------------------------------------------------
hemoglobin
n missing distinct Info Mean Gmd .05 .10
1980 28 143 1 115.1 27.22 72 82
.25 .50 .75 .90 .95
101 117 131 144 151
lowest : 29 30 31 32 34, highest: 181 184 191 193 200
--------------------------------------------------------------------------------
platelet
n missing distinct Info Mean Gmd .05 .10
1981 27 299 1 145.1 67.97 67 76
.25 .50 .75 .90 .95
101 135 177 223 261
lowest : 5 6 7 9 11, highest: 514 522 582 615 646
--------------------------------------------------------------------------------
platelet.distribution.width
n missing distinct Info Mean Gmd .05 .10
1905 103 126 0.996 16.36 1.251 14.4 15.4
.25 .50 .75 .90 .95
16.0 16.3 16.6 17.0 18.8
lowest : 9.5 10 10.3 10.4 10.5, highest: 24.3 24.4 24.7 24.8 25.1
--------------------------------------------------------------------------------
platelet.hematocrit
n missing distinct Info Mean Gmd .05 .10
1905 103 297 1 0.1737 0.07137 0.0840 0.1000
.25 .50 .75 .90 .95
0.1300 0.1650 0.2050 0.2546 0.2878
lowest : 0.009 0.01 0.013 0.016 0.024, highest: 0.531 0.576 0.611 0.621 0.702
--------------------------------------------------------------------------------
neutrophil.ratio
n missing distinct Info Mean Gmd .05 .10
1981 27 437 1 0.7509 0.1173 0.568 0.613
.25 .50 .75 .90 .95
0.683 0.759 0.827 0.881 0.908
lowest : 0.207 0.341 0.389 0.406 0.408, highest: 0.963 0.964 0.966 0.967 0.976
--------------------------------------------------------------------------------
neutrophil.count
n missing distinct Info Mean Gmd .05 .10
1981 27 831 1 5.65 3.208 2.22 2.71
.25 .50 .75 .90 .95
3.60 4.83 6.80 9.61 11.56
lowest : 0.74 0.85 0.92 1.01 1.03 , highest: 23.71 24.61 24.66 29.02 29.94
--------------------------------------------------------------------------------
D.dimer
n missing distinct Info Mean Gmd .05 .10
1840 168 502 1 2.447 2.708 0.530 0.610
.25 .50 .75 .90 .95
0.790 1.210 2.170 4.601 7.470
lowest : 0 0.28 0.34 0.35 0.36 , highest: 57.46 64.76 89.97 91.6 100.1
--------------------------------------------------------------------------------
international.normalized.ratio
n missing distinct Info Mean Gmd .05 .10
1973 35 190 1 1.35 0.3794 1.026 1.060
.25 .50 .75 .90 .95
1.130 1.210 1.350 1.630 2.050
lowest : 0.83 0.85 0.87 0.88 0.92 , highest: 8.7 8.89 10.36 15.16 16.59
--------------------------------------------------------------------------------
activated.partial.thromboplastin.time
n missing distinct Info Mean Gmd .05 .10
1974 34 318 1 35.39 7.397 26.80 28.30
.25 .50 .75 .90 .95
30.83 34.10 38.20 42.80 47.00
lowest : 20 20.3 20.7 21 21.6 , highest: 95 96.2 96.3 105.9 181.9
--------------------------------------------------------------------------------
thrombin.time
n missing distinct Info Mean Gmd .05 .10
1974 34 128 0.999 17.24 2.346 13.7 15.0
.25 .50 .75 .90 .95
16.3 17.2 17.9 18.8 19.3
lowest : 9.7 9.8 10 10.4 10.6 , highest: 64.4 78.5 105.8 129.2 209.3
--------------------------------------------------------------------------------
prothrombin.activity
n missing distinct Info Mean Gmd .05 .10
1962 46 456 1 66.4 20.33 31.30 41.41
.25 .50 .75 .90 .95
56.60 68.50 78.40 87.72 93.00
lowest : 3.8 4.2 5.6 6.5 7.3 , highest: 123.96 124.2 128.1 131.28 141.51
--------------------------------------------------------------------------------
prothrombin.time.ratio
n missing distinct Info Mean Gmd .05 .10
1973 35 193 1 1.353 0.3802 1.030 1.060
.25 .50 .75 .90 .95
1.130 1.220 1.360 1.640 2.064
lowest : 0.85 0.87 0.89 0.92 0.93 , highest: 8.01 8.89 10.36 13.66 14.89
--------------------------------------------------------------------------------
fibrinogen
n missing distinct Info Mean Gmd .05 .10
1974 34 317 1 3.224 1.115 1.957 2.160
.25 .50 .75 .90 .95
2.493 3.040 3.700 4.610 5.310
lowest : 0.51 0.61 0.69 0.87 1.02, highest: 7.94 8.1 8.21 8.31 8.32
--------------------------------------------------------------------------------
high.sensitivity.troponin
n missing distinct Info Mean Gmd .05 .10
1929 79 424 1 0.2815 0.4719 0.0040 0.0090
.25 .50 .75 .90 .95
0.0230 0.0550 0.1190 0.2950 0.6194
lowest : 0 0.001 0.002 0.003 0.004 , highest: 26.718 26.94 31.719 34.206 45.675
--------------------------------------------------------------------------------
myoglobin
n missing distinct Info Mean Gmd .05 .10
398 1610 392 1 123.3 116.1 27.56 33.65
.25 .50 .75 .90 .95
47.84 78.43 132.12 251.71 397.29
lowest : 17.58 19.87 20.36 21.28 21.75 , highest: 753.23 804.76 812.37 990.17 994.82
--------------------------------------------------------------------------------
carbon.dioxide.binding.capacity
n missing distinct Info Mean Gmd .05 .10
1997 11 266 1 23.82 5.287 15.9 18.2
.25 .50 .75 .90 .95
20.9 23.9 26.7 29.4 31.2
lowest : 2.1 2.7 3.1 4.9 5.6 , highest: 40.3 43.3 43.8 44.9 47.2
--------------------------------------------------------------------------------
calcium
n missing distinct Info Mean Gmd .05 .10
1997 11 116 1 2.293 0.1971 2.02 2.09
.25 .50 .75 .90 .95
2.18 2.29 2.40 2.51 2.59
lowest : 1.39 1.44 1.52 1.59 1.67, highest: 2.88 2.95 2.98 3.02 3.37
--------------------------------------------------------------------------------
potassium
n missing distinct Info Mean Gmd .05 .10
1997 11 330 1 3.981 0.7509 3.028 3.200
.25 .50 .75 .90 .95
3.530 3.880 4.330 4.880 5.262
lowest : 1.67 2.29 2.31 2.44 2.46, highest: 6.94 6.97 7.1 7.29 11.1
--------------------------------------------------------------------------------
chloride
n missing distinct Info Mean Gmd .05 .10
1997 11 290 1 101.8 6.53 90.98 94.00
.25 .50 .75 .90 .95
98.70 102.60 105.90 108.24 109.80
lowest : 70.9 73.3 73.7 75.6 75.9 , highest: 115.9 118.2 120.9 122 125.1
--------------------------------------------------------------------------------
sodium
n missing distinct Info Mean Gmd .05 .10
1997 11 236 1 138.2 5.174 129.8 132.4
.25 .50 .75 .90 .95
136.0 139.0 141.4 143.4 144.4
lowest : 107.5 107.9 111 114.4 115.7, highest: 150 154 155.1 158.5 159
--------------------------------------------------------------------------------
Inorganic.Phosphorus
n missing distinct Info Mean Gmd .05 .10
407 1601 122 1 1.129 0.382 0.713 0.790
.25 .50 .75 .90 .95
0.910 1.040 1.195 1.504 1.967
lowest : 0.54 0.55 0.57 0.58 0.59, highest: 3.14 3.2 3.21 3.77 4.26
--------------------------------------------------------------------------------
serum.magnesium
n missing distinct Info Mean Gmd .05 .10
407 1601 67 0.999 0.8709 0.1479 0.653 0.710
.25 .50 .75 .90 .95
0.785 0.870 0.950 1.040 1.100
lowest : 0.52 0.53 0.54 0.56 0.57, highest: 1.21 1.26 1.31 1.32 1.49
--------------------------------------------------------------------------------
creatine.kinase.isoenzyme.to.creatine.kinase
n missing distinct Info Mean Gmd .05 .10
1767 241 173 0.999 0.2107 0.1504 0.05000 0.07238
.25 .50 .75 .90 .95
0.11000 0.17000 0.26000 0.40000 0.50000
lowest : 0.0130435 0.02 0.0244864 0.0257143 0.0272467
highest: 0.91 0.93 0.98 0.99 1
--------------------------------------------------------------------------------
hydroxybutyrate.dehydrogenase.to.lactate.dehydrogenase
n missing distinct Info Mean Gmd .05 .10
1767 241 62 0.999 0.8171 0.1012 0.66 0.71
.25 .50 .75 .90 .95
0.77 0.82 0.88 0.93 0.96
lowest : 0.36 0.41 0.42 0.43 0.44, highest: 1 1.02 1.05 1.13 1.15
--------------------------------------------------------------------------------
hydroxybutyrate.dehydrogenase
n missing distinct Info Mean Gmd .05 .10
1767 241 316 1 215.5 92.16 129.0 140.0
.25 .50 .75 .90 .95
160.0 187.0 227.0 299.0 366.7
lowest : 78 85 92 99 102, highest: 1605 1650 2192 2657 2666
--------------------------------------------------------------------------------
glutamic.oxaloacetic.transaminase
n missing distinct Info Mean Gmd .05 .10
1755 253 186 0.999 63.22 79.68 13.0 16.0
.25 .50 .75 .90 .95
20.0 26.0 39.0 68.0 116.3
lowest : 5 6 7 8 9, highest: 3437 3454 4262 6490 6640
--------------------------------------------------------------------------------
creatine.kinase
n missing distinct Info Mean Gmd .05 .10
1767 241 330 1 136.4 121.6 38.0 45.0
.25 .50 .75 .90 .95
64.0 91.0 137.0 216.0 324.4
lowest : 17 18 19 21 22, highest: 3010 3105 5609 5876 5920
--------------------------------------------------------------------------------
creatine.kinase.isoenzyme
n missing distinct Info Mean Gmd .05 .10
1767 241 406 1 19.76 12.82 7.10 9.00
.25 .50 .75 .90 .95
12.10 16.10 21.80 30.94 40.47
lowest : 0.9 1 1.8 2.1 2.3 , highest: 187.7 205.9 217.1 338 424
--------------------------------------------------------------------------------
lactate.dehydrogenase
n missing distinct Info Mean Gmd .05 .10
1767 241 377 1 273.3 132.5 157.0 168.0
.25 .50 .75 .90 .95
195.0 229.0 282.0 368.8 469.5
lowest : 107 109 110 113 115, highest: 2616 2818 2881 4039 6279
--------------------------------------------------------------------------------
brain.natriuretic.peptide
n missing distinct Info Mean Gmd .05 .10
1973 35 1861 1 1280 1373 75.91 122.28
.25 .50 .75 .90 .95
303.94 753.03 1738.52 3385.09 5000.00
lowest : 2.69 11.1 12.13 13.61 14.05
highest: 4888.87 4916.26 4917.83 4982.85 5000
--------------------------------------------------------------------------------
high.sensitivity.protein
n missing distinct Info Mean Gmd .05 .10
941 1067 430 1 25.09 31.78 1.2 2.0
.25 .50 .75 .90 .95
4.0 9.4 29.8 80.6 104.0
lowest : 0.1 0.2 0.3 0.4 0.5 , highest: 168.6 172 172.1 178.9 188.1
--------------------------------------------------------------------------------
nucleotidase
n missing distinct Info Mean Gmd .05 .10
1479 529 164 1 4.292 3.281 1.40 1.60
.25 .50 .75 .90 .95
2.20 3.00 5.00 8.42 11.41
lowest : 0.3 0.6 0.7 0.8 0.9 , highest: 25.9 26.4 28.6 29.4 31.4
--------------------------------------------------------------------------------
fucosidase
n missing distinct Info Mean Gmd .05 .10
1479 529 281 1 19.37 6.694 10.60 12.40
.25 .50 .75 .90 .95
15.20 18.70 22.80 27.22 30.30
lowest : 3.8 4.6 4.9 5 6.4 , highest: 39.4 39.5 42.8 44.4 59.2
--------------------------------------------------------------------------------
albumin
n missing distinct Info Mean Gmd .05 .10
1906 102 255 1 36.53 5.526 28.0 30.1
.25 .50 .75 .90 .95
33.5 36.8 39.8 42.6 44.1
lowest : 12.6 15.5 17.3 17.6 19 , highest: 51 51.1 52.4 52.6 52.7
--------------------------------------------------------------------------------
white.globulin.ratio
n missing distinct Info Mean Gmd .05 .10
1906 102 25 0.989 1.33 0.3412 0.8 1.0
.25 .50 .75 .90 .95
1.1 1.3 1.5 1.7 1.8
lowest : 0.1 0.3 0.4 0.5 0.6, highest: 2.2 2.3 2.4 2.5 2.6
--------------------------------------------------------------------------------
glutamyltranspeptidase
n missing distinct Info Mean Gmd .05 .10
1906 102 250 1 61.07 57.84 12.0 15.0
.25 .50 .75 .90 .95
22.0 39.0 74.0 124.0 186.8
lowest : 5 6 7 8 9, highest: 574 586 623 712 721
--------------------------------------------------------------------------------
glutamic.pyruvic.transaminase
n missing distinct Info Mean Gmd .05 .10
1906 102 197 0.999 53.97 71.67 8.00 10.00
.25 .50 .75 .90 .95
13.00 21.00 35.75 73.00 114.50
lowest : 3 4 5 6 7, highest: 2096 2147 2551 3085 4928
--------------------------------------------------------------------------------
glutamic.oxaliplatin
n missing distinct Info Mean Gmd .05 .10
592 1416 193 1 1.372 0.7181 0.590 0.690
.25 .50 .75 .90 .95
0.910 1.200 1.655 2.149 2.602
lowest : 0.01 0.29 0.3 0.31 0.41 , highest: 4.56 4.75 4.8 5.71 11.14
--------------------------------------------------------------------------------
indirect.bilirubin
n missing distinct Info Mean Gmd .05 .10
1906 102 351 1 13.71 8.832 4.40 5.40
.25 .50 .75 .90 .95
7.80 11.60 17.10 23.70 29.55
lowest : 1 1.2 1.4 1.5 1.7 , highest: 69.5 76.8 87.9 90.6 128.6
--------------------------------------------------------------------------------
alkaline.phosphatase
n missing distinct Info Mean Gmd .05 .10
1906 102 194 1 89.48 39.3 48.0 53.0
.25 .50 .75 .90 .95
64.0 80.0 102.0 132.0 162.5
lowest : 19 25 30 31 32, highest: 313 347 354 400 1085
--------------------------------------------------------------------------------
globulin
n missing distinct Info Mean Gmd .05 .10
1906 102 278 1 28.57 6.255 20.80 22.05
.25 .50 .75 .90 .95
24.70 27.90 31.40 35.45 38.65
lowest : 13.7 15.5 16.2 16.4 16.6, highest: 65.2 66.2 67.4 70 88.3
--------------------------------------------------------------------------------
direct.bilirubin
n missing distinct Info Mean Gmd .05 .10
1906 102 298 1 9.025 7.662 2.1 2.7
.25 .50 .75 .90 .95
4.1 6.5 10.5 17.1 24.4
lowest : 0.3 0.4 0.6 0.8 0.9 , highest: 72.9 76.2 77.5 109.2 179.8
--------------------------------------------------------------------------------
total.bilirubin
n missing distinct Info Mean Gmd .05 .10
1906 102 507 1 22.73 15.93 6.90 8.60
.25 .50 .75 .90 .95
12.12 18.30 27.80 40.40 53.35
lowest : 1.6 1.8 1.9 2.8 2.9 , highest: 139.1 144.8 164.5 167.4 256.6
--------------------------------------------------------------------------------
total.bile.acid
n missing distinct Info Mean Gmd .05 .10
1498 510 279 1 8.554 9.351 1.285 1.670
.25 .50 .75 .90 .95
2.600 4.700 8.800 17.200 27.415
lowest : 0 0.1 0.5 0.6 0.7 , highest: 110.8 122.6 134.1 166.2 170.2
--------------------------------------------------------------------------------
total.protein
n missing distinct Info Mean Gmd .05 .10
1906 102 349 1 65.1 8.154 54.00 56.40
.25 .50 .75 .90 .95
60.12 64.70 69.38 74.60 77.47
lowest : 41.7 42.1 42.9 43.4 43.6 , highest: 91.8 94.7 97.3 99 100.9
--------------------------------------------------------------------------------
erythrocyte.sedimentation.rate
n missing distinct Info Mean Gmd .05 .10
307 1701 89 0.999 35.51 32.79 2.0 4.0
.25 .50 .75 .90 .95
12.0 28.0 50.5 81.2 101.0
lowest : 2 3 4 5 6, highest: 106 115 118 119 120
--------------------------------------------------------------------------------
cholesterol
n missing distinct Info Mean Gmd .05 .10
1810 198 451 1 3.723 1.199 2.180 2.410
.25 .50 .75 .90 .95
2.970 3.600 4.317 5.131 5.660
lowest : 1.2 1.37 1.5 1.53 1.58, highest: 8.27 8.37 8.41 8.58 10
--------------------------------------------------------------------------------
low.density.lipoprotein.cholesterol
n missing distinct Info Mean Gmd .05 .10
1810 198 327 1 1.861 0.8268 0.840 1.000
.25 .50 .75 .90 .95
1.320 1.760 2.288 2.800 3.270
lowest : 0.35 0.38 0.43 0.47 0.48, highest: 4.99 5.11 5.17 5.47 6.41
--------------------------------------------------------------------------------
triglyceride
n missing distinct Info Mean Gmd .05 .10
1810 198 274 1 1.161 0.7054 0.490 0.559
.25 .50 .75 .90 .95
0.710 0.960 1.310 1.840 2.480
lowest : 0.22 0.24 0.26 0.28 0.31 , highest: 6.79 10.76 14.24 22.46 24.45
--------------------------------------------------------------------------------
high.density.lipoprotein.cholesterol
n missing distinct Info Mean Gmd .05 .10
1810 198 188 1 1.103 0.3904 0.590 0.680
.25 .50 .75 .90 .95
0.860 1.070 1.300 1.550 1.745
lowest : 0.02 0.05 0.17 0.23 0.26, highest: 2.39 2.43 2.55 2.59 2.74
--------------------------------------------------------------------------------
homocysteine
n missing distinct Info Mean Gmd .05 .10
146 1862 140 1 21.41 11.41 10.27 11.98
.25 .50 .75 .90 .95
14.71 18.49 23.37 32.23 43.87
lowest : 7.55 8.1 8.17 8.58 9.03 , highest: 53.28 67.7 75.63 77.15 120.19
--------------------------------------------------------------------------------
apolipoprotein.A
n missing distinct Info Mean Gmd .05 .10
176 1832 96 1 1.303 0.371 0.780 0.895
.25 .50 .75 .90 .95
1.080 1.310 1.525 1.740 1.808
lowest : 0.53 0.57 0.62 0.68 0.7 , highest: 1.93 1.98 2.01 2.06 2.2
--------------------------------------------------------------------------------
apolipoprotein.B
n missing distinct Info Mean Gmd .05 .10
176 1832 75 0.999 0.7635 0.301 0.4225 0.4500
.25 .50 .75 .90 .95
0.5700 0.7200 0.9225 1.0200 1.2850
lowest : 0.3 0.37 0.38 0.39 0.4 , highest: 1.54 1.65 1.76 1.84 2.07
--------------------------------------------------------------------------------
lipoprotein
n missing distinct Info Mean Gmd .05 .10
176 1832 148 1 231.8 230.4 29.0 37.0
.25 .50 .75 .90 .95
60.5 153.0 324.0 546.0 684.5
lowest : 5 16 17 21 24, highest: 935 938 976 1005 1160
--------------------------------------------------------------------------------
pH
n missing distinct Info Mean Gmd .05 .10
993 1015 53 0.997 7.413 0.07362 7.29 7.34
.25 .50 .75 .90 .95
7.39 7.42 7.45 7.49 7.51
lowest : 6.77 6.81 7.05 7.06 7.07, highest: 7.55 7.56 7.57 7.58 7.6
--------------------------------------------------------------------------------
standard.residual.base
n missing distinct Info Mean Gmd .05 .10
993 1015 229 1 -2.387 5.687 -10.84 -8.20
.25 .50 .75 .90 .95
-5.10 -2.20 0.50 3.88 5.84
lowest : -32.7 -32.6 -22.8 -22.4 -20.3, highest: 13.6 17.1 18.3 20.2 24.9
--------------------------------------------------------------------------------
standard.bicarbonate
n missing distinct Info Mean Gmd .05 .10
993 1015 178 1 22.99 4.142 17.02 18.70
.25 .50 .75 .90 .95
21.00 23.00 25.00 27.50 28.94
lowest : 2.6 4 8.6 9.1 10.1, highest: 36 38.6 40.2 42 42.7
--------------------------------------------------------------------------------
partial.pressure.of.carbon.dioxide
n missing distinct Info Mean Gmd .05 .10
993 1015 59 0.998 35.8 9.217 25 27
.25 .50 .75 .90 .95
30 34 39 45 50
lowest : 12 16 18 19 20, highest: 77 80 96 97 143
--------------------------------------------------------------------------------
total.carbon.dioxide
n missing distinct Info Mean Gmd .05 .10
993 1015 232 1 23.31 5.47 15.70 17.40
.25 .50 .75 .90 .95
20.40 23.20 25.90 29.38 31.50
lowest : 2.1 2.8 7.9 8.1 8.3 , highest: 41.2 41.3 42.4 44.1 57.5
--------------------------------------------------------------------------------
methemoglobin
n missing distinct Info Mean Gmd .05 .10
992 1016 16 0.939 0.2405 0.1724 0.0 0.1
.25 .50 .75 .90 .95
0.1 0.2 0.3 0.4 0.5
Value 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.1
Frequency 87 222 224 333 59 30 10 9 7 3 1
Proportion 0.088 0.224 0.226 0.336 0.059 0.030 0.010 0.009 0.007 0.003 0.001
Value 1.3 1.4 1.7 1.9 2.3
Frequency 1 3 1 1 1
Proportion 0.001 0.003 0.001 0.001 0.001
For the frequency table, variable is rounded to the nearest 0
--------------------------------------------------------------------------------
hematocrit.blood.gas
n missing distinct Info Mean Gmd .05 .10
992 1016 48 0.998 36.58 8.184 23.00 27.00
.25 .50 .75 .90 .95
32.00 37.00 41.00 45.00 47.45
lowest : 10 12 13 14 15, highest: 54 55 56 60 111
--------------------------------------------------------------------------------
reduced.hemoglobin
n missing distinct Info Mean Gmd .05 .10
992 1016 148 1 4.215 4.255 0.800 1.000
.25 .50 .75 .90 .95
1.500 2.500 4.625 8.000 12.435
lowest : 0.3 0.4 0.5 0.6 0.7 , highest: 44.2 56 63.3 64.5 74.7
--------------------------------------------------------------------------------
potassium.ion
n missing distinct Info Mean Gmd .05 .10
993 1015 266 1 3.893 0.7163 2.980 3.142
.25 .50 .75 .90 .95
3.470 3.810 4.200 4.728 5.126
lowest : 1.5 2.28 2.32 2.37 2.44, highest: 6.54 6.6 6.62 6.91 7.13
--------------------------------------------------------------------------------
chloride.ion
n missing distinct Info Mean Gmd .05 .10
993 1015 45 0.997 103.9 6.743 93 96
.25 .50 .75 .90 .95
101 105 108 111 112
lowest : 73 77 78 80 81, highest: 117 118 119 120 121
--------------------------------------------------------------------------------
sodium.ion
n missing distinct Info Mean Gmd .05 .10
993 1015 213 1 136.2 5.299 127.2 130.0
.25 .50 .75 .90 .95
133.6 137.1 139.6 141.4 142.5
lowest : 109.3 113.1 114.3 114.4 115 , highest: 145.6 146 147.2 148.6 148.8
--------------------------------------------------------------------------------
glucose.blood.gas
n missing distinct Info Mean Gmd .05 .10
993 1015 159 1 7.83 3.623 4.46 4.80
.25 .50 .75 .90 .95
5.60 6.70 8.70 12.48 15.30
lowest : 0.2 1.9 2.2 2.4 2.8 , highest: 30.1 33.1 40.2 40.8 41
--------------------------------------------------------------------------------
lactate
n missing distinct Info Mean Gmd .05 .10
993 1015 77 0.998 2.308 1.341 1.10 1.20
.25 .50 .75 .90 .95
1.50 1.80 2.50 3.50 4.84
lowest : 0.6 0.7 0.8 0.9 1 , highest: 14.1 14.7 16.9 17 19.9
--------------------------------------------------------------------------------
measured.residual.base
n missing distinct Info Mean Gmd .05 .10
993 1015 218 1 -1.898 4.961 -9.34 -7.10
.25 .50 .75 .90 .95
-4.20 -1.70 0.60 3.40 5.00
lowest : -31.6 -30.5 -21.4 -20.8 -18.6, highest: 12.4 14.7 16.4 18 18.4
--------------------------------------------------------------------------------
measured.bicarbonate
n missing distinct Info Mean Gmd .05 .10
993 1015 209 1 22.22 5.239 15.00 16.50
.25 .50 .75 .90 .95
19.40 22.20 24.80 28.08 30.04
lowest : 1.8 2.3 7.1 7.5 8.3 , highest: 39 39.7 40.8 42.5 53.1
--------------------------------------------------------------------------------
carboxyhemoglobin
n missing distinct Info Mean Gmd .05 .10
992 1016 35 0.979 0.6056 0.5434 0.100 0.100
.25 .50 .75 .90 .95
0.300 0.400 0.800 1.300 1.645
lowest : 0 0.1 0.2 0.3 0.4, highest: 3 3.1 3.3 3.7 5.3
--------------------------------------------------------------------------------
body.temperature.blood.gas
n missing distinct Info Mean Gmd
993 1015 1 0 37 0
Value 37
Frequency 993
Proportion 1
--------------------------------------------------------------------------------
oxygen.saturation
n missing distinct Info Mean Gmd .05 .10
993 1015 38 0.962 95.81 4.303 87.6 92.0
.25 .50 .75 .90 .95
95.0 98.0 99.0 99.0 99.0
lowest : 25 35 36 43 56, highest: 96 97 98 99 100
--------------------------------------------------------------------------------
partial.oxygen.pressure
n missing distinct Info Mean Gmd .05 .10
993 1015 171 1 108.1 42.03 57 65
.25 .50 .75 .90 .95
80 102 134 158 176
lowest : 20 27 28 33 35, highest: 224 226 242 243 255
--------------------------------------------------------------------------------
oxyhemoglobin
n missing distinct Info Mean Gmd .05 .10
992 1016 155 1 94.94 4.419 86.70 90.71
.25 .50 .75 .90 .95
94.50 96.60 97.80 98.30 98.60
lowest : 24.3 35.1 36.3 43 55.7, highest: 98.7 98.8 98.9 99 99.1
--------------------------------------------------------------------------------
anion.gap
n missing distinct Info Mean Gmd .05 .10
993 1015 187 1 14.02 4.388 7.8 9.2
.25 .50 .75 .90 .95
11.7 13.8 16.1 18.6 20.2
lowest : -1.2 -0.8 2.9 3.2 4.3 , highest: 33 34.3 34.7 34.8 43.7
--------------------------------------------------------------------------------
free.calcium
n missing distinct Info Mean Gmd .05 .10
993 1015 38 0.996 1.11 0.05766 1.026 1.050
.25 .50 .75 .90 .95
1.080 1.110 1.140 1.170 1.190
lowest : 0.89 0.92 0.94 0.95 0.96, highest: 1.26 1.27 1.3 1.38 1.39
--------------------------------------------------------------------------------
total.hemoglobin
n missing distinct Info Mean Gmd .05 .10
992 1016 131 1 124.1 27.38 79 91
.25 .50 .75 .90 .95
110 127 139 152 161
lowest : 35 42 43 48 50, highest: 185 187 189 192 203
--------------------------------------------------------------------------------
GCS
n missing distinct Info Mean Gmd .05 .10
2008 0 10 0.083 14.83 0.3316 15 15
.25 .50 .75 .90 .95
15 15 15 15 15
Value 3 4 6 7 10 11 12 13 14 15
Frequency 13 1 1 4 7 19 3 2 7 1951
Proportion 0.006 0.000 0.000 0.002 0.003 0.009 0.001 0.001 0.003 0.972
For the frequency table, variable is rounded to the nearest 0
--------------------------------------------------------------------------------
dischargeDay
n missing distinct Info Mean Gmd .05 .10
2008 0 54 0.992 9.421 6.174 3 4
.25 .50 .75 .90 .95
6 8 10 15 21
lowest : 1 2 3 4 5, highest: 76 82 88 118 123
--------------------------------------------------------------------------------
ageCat
n missing distinct
2008 0 8
Value (21,29] (29,39] (39,49] (49,59] (59,69] (69,79] (79,89]
Frequency 4 12 56 106 368 715 646
Proportion 0.002 0.006 0.028 0.053 0.183 0.356 0.322
Value (89,110]
Frequency 101
Proportion 0.050
--------------------------------------------------------------------------------
Variables with all observations missing:
[1] cholinesterase2.3 Clean and transform dataframe
2.3.1 Clean column names
2.3.1.1 Column name before clean
col_name_before <- names(zigong)
details::details(
summary = 'Click to show results!',
col_name_before
)Click to show results!
...1
inpatient.number
DestinationDischarge
admission.ward
admission.way
occupation
discharge.department
visit.times
gender
body.temperature
pulse
respiration
systolic.blood.pressure
diastolic.blood.pressure
map
weight
height
BMI
type.of.heart.failure
NYHA.cardiac.function.classification
Killip.grade
myocardial.infarction
congestive.heart.failure
peripheral.vascular.disease
cerebrovascular.disease
dementia
Chronic.obstructive.pulmonary.disease
connective.tissue.disease
peptic.ulcer.disease
diabetes
moderate.to.severe.chronic.kidney.disease
hemiplegia
leukemia
malignant.lymphoma
solid.tumor
liver.disease
AIDS
CCI.score
type.II.respiratory.failure
consciousness
eye.opening
verbal.response
movement
respiratory.support.
oxygen.inhalation
fio2
acute.renal.failure
LVEF
left.ventricular.end.diastolic.diameter.LV
mitral.valve.EMS
mitral.valve.AMS
EA
tricuspid.valve.return.velocity
tricuspid.valve.return.pressure
outcome.during.hospitalization
death.within.28.days
re.admission.within.28.days
death.within.3.months
re.admission.within.3.months
death.within.6.months
re.admission.within.6.months
time.of.death..days.from.admission.
re.admission.time..days.from.admission.
return.to.emergency.department.within.6.months
time.to.emergency.department.within.6.months
creatinine.enzymatic.method
urea
uric.acid
glomerular.filtration.rate
cystatin
white.blood.cell
monocyte.ratio
monocyte.count
red.blood.cell
coefficient.of.variation.of.red.blood.cell.distribution.width
standard.deviation.of.red.blood.cell.distribution.width
mean.corpuscular.volume
hematocrit
lymphocyte.count
mean.hemoglobin.volume
mean.hemoglobin.concentration
mean.platelet.volume
basophil.ratio
basophil.count
eosinophil.ratio
eosinophil.count
hemoglobin
platelet
platelet.distribution.width
platelet.hematocrit
neutrophil.ratio
neutrophil.count
D.dimer
international.normalized.ratio
activated.partial.thromboplastin.time
thrombin.time
prothrombin.activity
prothrombin.time.ratio
fibrinogen
high.sensitivity.troponin
myoglobin
carbon.dioxide.binding.capacity
calcium
potassium
chloride
sodium
Inorganic.Phosphorus
serum.magnesium
creatine.kinase.isoenzyme.to.creatine.kinase
hydroxybutyrate.dehydrogenase.to.lactate.dehydrogenase
hydroxybutyrate.dehydrogenase
glutamic.oxaloacetic.transaminase
creatine.kinase
creatine.kinase.isoenzyme
lactate.dehydrogenase
brain.natriuretic.peptide
high.sensitivity.protein
nucleotidase
fucosidase
albumin
white.globulin.ratio
cholinesterase
glutamyltranspeptidase
glutamic.pyruvic.transaminase
glutamic.oxaliplatin
indirect.bilirubin
alkaline.phosphatase
globulin
direct.bilirubin
total.bilirubin
total.bile.acid
total.protein
erythrocyte.sedimentation.rate
cholesterol
low.density.lipoprotein.cholesterol
triglyceride
high.density.lipoprotein.cholesterol
homocysteine
apolipoprotein.A
apolipoprotein.B
lipoprotein
pH
standard.residual.base
standard.bicarbonate
partial.pressure.of.carbon.dioxide
total.carbon.dioxide
methemoglobin
hematocrit.blood.gas
reduced.hemoglobin
potassium.ion
chloride.ion
sodium.ion
glucose.blood.gas
lactate
measured.residual.base
measured.bicarbonate
carboxyhemoglobin
body.temperature.blood.gas
oxygen.saturation
partial.oxygen.pressure
oxyhemoglobin
anion.gap
free.calcium
total.hemoglobin
GCS
dischargeDay
ageCat
#### Column name after clean
- Copy data frame to data_clean: this this case zigong to zigong_clean
- Clean column names
zigong_clean <- zigong %>%
clean_names()
col_name_after <- names(zigong_clean)
details::details(
summary = 'Click to show results!',
col_name_after
)Click to show results!
x1
inpatient_number
destination_discharge
admission_ward
admission_way
occupation
discharge_department
visit_times
gender
body_temperature
pulse
respiration
systolic_blood_pressure
diastolic_blood_pressure
map
weight
height
bmi
type_of_heart_failure
nyha_cardiac_function_classification
killip_grade
myocardial_infarction
congestive_heart_failure
peripheral_vascular_disease
cerebrovascular_disease
dementia
chronic_obstructive_pulmonary_disease
connective_tissue_disease
peptic_ulcer_disease
diabetes
moderate_to_severe_chronic_kidney_disease
hemiplegia
leukemia
malignant_lymphoma
solid_tumor
liver_disease
aids
cci_score
type_ii_respiratory_failure
consciousness
eye_opening
verbal_response
movement
respiratory_support
oxygen_inhalation
fio2
acute_renal_failure
lvef
left_ventricular_end_diastolic_diameter_lv
mitral_valve_ems
mitral_valve_ams
ea
tricuspid_valve_return_velocity
tricuspid_valve_return_pressure
outcome_during_hospitalization
death_within_28_days
re_admission_within_28_days
death_within_3_months
re_admission_within_3_months
death_within_6_months
re_admission_within_6_months
time_of_death_days_from_admission
re_admission_time_days_from_admission
return_to_emergency_department_within_6_months
time_to_emergency_department_within_6_months
creatinine_enzymatic_method
urea
uric_acid
glomerular_filtration_rate
cystatin
white_blood_cell
monocyte_ratio
monocyte_count
red_blood_cell
coefficient_of_variation_of_red_blood_cell_distribution_width
standard_deviation_of_red_blood_cell_distribution_width
mean_corpuscular_volume
hematocrit
lymphocyte_count
mean_hemoglobin_volume
mean_hemoglobin_concentration
mean_platelet_volume
basophil_ratio
basophil_count
eosinophil_ratio
eosinophil_count
hemoglobin
platelet
platelet_distribution_width
platelet_hematocrit
neutrophil_ratio
neutrophil_count
d_dimer
international_normalized_ratio
activated_partial_thromboplastin_time
thrombin_time
prothrombin_activity
prothrombin_time_ratio
fibrinogen
high_sensitivity_troponin
myoglobin
carbon_dioxide_binding_capacity
calcium
potassium
chloride
sodium
inorganic_phosphorus
serum_magnesium
creatine_kinase_isoenzyme_to_creatine_kinase
hydroxybutyrate_dehydrogenase_to_lactate_dehydrogenase
hydroxybutyrate_dehydrogenase
glutamic_oxaloacetic_transaminase
creatine_kinase
creatine_kinase_isoenzyme
lactate_dehydrogenase
brain_natriuretic_peptide
high_sensitivity_protein
nucleotidase
fucosidase
albumin
white_globulin_ratio
cholinesterase
glutamyltranspeptidase
glutamic_pyruvic_transaminase
glutamic_oxaliplatin
indirect_bilirubin
alkaline_phosphatase
globulin
direct_bilirubin
total_bilirubin
total_bile_acid
total_protein
erythrocyte_sedimentation_rate
cholesterol
low_density_lipoprotein_cholesterol
triglyceride
high_density_lipoprotein_cholesterol
homocysteine
apolipoprotein_a
apolipoprotein_b
lipoprotein
p_h
standard_residual_base
standard_bicarbonate
partial_pressure_of_carbon_dioxide
total_carbon_dioxide
methemoglobin
hematocrit_blood_gas
reduced_hemoglobin
potassium_ion
chloride_ion
sodium_ion
glucose_blood_gas
lactate
measured_residual_base
measured_bicarbonate
carboxyhemoglobin
body_temperature_blood_gas
oxygen_saturation
partial_oxygen_pressure
oxyhemoglobin
anion_gap
free_calcium
total_hemoglobin
gcs
discharge_day
age_cat2.3.2 Converting categorical columns to factors
2.3.2.2 Convert and transform data
# Convert relevant columns to factors with appropriate labels
# Function to factorize
convert_to_factor <- function(df, cols) {
for (col in cols) {
if (col %in% names(df)) {
df[[col]] <- as.factor(df[[col]])
print(paste("Column", col, "is converted to factor"))
} else {
print(paste("Columns", col, "does not exist in the data frame"))
}
}
return(df)
}
# Column name list
categorial_columns <- c("destination_discharge", "admission_ward", "admission_way", "occupation", "discharge_department", "gender", "type_of_heart_failure", "nyha_cardiac_function_classification", "killip_grade", "type_ii_respiratory_failure", "consciousness", "respiratory_support", "outcome_during_hospitalization")
zigong_clean <- convert_to_factor(zigong_clean, categorial_columns)## [1] "Column destination_discharge is converted to factor"
## [1] "Column admission_ward is converted to factor"
## [1] "Column admission_way is converted to factor"
## [1] "Column occupation is converted to factor"
## [1] "Column discharge_department is converted to factor"
## [1] "Column gender is converted to factor"
## [1] "Column type_of_heart_failure is converted to factor"
## [1] "Column nyha_cardiac_function_classification is converted to factor"
## [1] "Column killip_grade is converted to factor"
## [1] "Column type_ii_respiratory_failure is converted to factor"
## [1] "Column consciousness is converted to factor"
## [1] "Column respiratory_support is converted to factor"
## [1] "Column outcome_during_hospitalization is converted to factor"2.3.3 Review data frame after converting
## spc_tbl_ [2,008 × 167] (S3: spec_tbl_df/tbl_df/tbl/data.frame)
## $ x1 : num [1:2008] 1 2 3 4 5 6 7 8 9 10 ...
## $ inpatient_number : num [1:2008] 857781 743087 866418 775928 810128 ...
## $ destination_discharge : Factor w/ 4 levels "Died","HealthcareFacility",..: 3 3 3 3 3 3 3 2 3 3 ...
## $ admission_ward : Factor w/ 4 levels "Cardiology","GeneralWard",..: 1 1 1 1 1 1 1 1 1 1 ...
## $ admission_way : Factor w/ 2 levels "Emergency","NonEmergency": 2 2 2 1 2 2 2 1 2 2 ...
## $ occupation : Factor w/ 5 levels "farmer","Officer",..: 4 4 1 4 4 4 4 4 4 4 ...
## $ discharge_department : Factor w/ 4 levels "Cardiology","GeneralWard",..: 1 1 1 1 1 1 1 1 1 1 ...
## $ visit_times : num [1:2008] 1 1 2 1 1 1 2 1 1 1 ...
## $ gender : Factor w/ 2 levels "Female","Male": 2 1 2 2 1 1 2 1 1 1 ...
## $ body_temperature : num [1:2008] 36.7 36.8 36.5 36 35 36 36 36 36.2 36.5 ...
## $ pulse : num [1:2008] 87 95 98 73 88 110 52 94 85 65 ...
## $ respiration : num [1:2008] 19 18 18 19 19 18 25 18 24 18 ...
## $ systolic_blood_pressure : num [1:2008] 102 150 102 110 134 96 129 112 166 130 ...
## $ diastolic_blood_pressure : num [1:2008] 64 70 67 74 62 64 54 60 85 80 ...
## $ map : num [1:2008] 76.7 96.7 78.7 86 86 ...
## $ weight : num [1:2008] 50 51 70 65 76 45 60 50 60 56 ...
## $ height : num [1:2008] 1.64 1.63 1.7 1.7 1.55 1.56 1.65 1.55 1.55 1.56 ...
## $ bmi : num [1:2008] 18.6 19.2 24.2 22.5 31.6 ...
## $ type_of_heart_failure : Factor w/ 3 levels "Both","Left",..: 1 1 1 1 1 1 1 1 1 1 ...
## $ nyha_cardiac_function_classification : Factor w/ 3 levels "II","III","IV": 2 2 1 2 2 2 2 2 1 2 ...
## $ killip_grade : Factor w/ 4 levels "I","II","III",..: 3 1 2 2 2 1 1 2 3 1 ...
## $ myocardial_infarction : num [1:2008] 0 0 0 0 0 0 0 0 0 1 ...
## $ congestive_heart_failure : num [1:2008] 0 0 0 0 0 0 0 0 0 0 ...
## $ peripheral_vascular_disease : num [1:2008] 0 0 0 0 0 0 0 0 0 0 ...
## $ cerebrovascular_disease : num [1:2008] 0 0 0 0 0 0 0 0 1 0 ...
## $ dementia : num [1:2008] 0 0 0 0 0 0 0 0 0 0 ...
## $ chronic_obstructive_pulmonary_disease : num [1:2008] 1 0 0 1 0 0 1 0 0 0 ...
## $ connective_tissue_disease : num [1:2008] 0 0 0 0 0 0 0 0 0 0 ...
## $ peptic_ulcer_disease : num [1:2008] 0 0 0 0 0 0 0 0 0 0 ...
## $ diabetes : num [1:2008] 1 0 0 0 0 0 0 0 0 0 ...
## $ moderate_to_severe_chronic_kidney_disease : num [1:2008] 0 0 0 1 0 0 0 0 0 0 ...
## $ hemiplegia : num [1:2008] 0 0 0 0 0 0 0 0 0 0 ...
## $ leukemia : num [1:2008] 0 0 0 0 0 0 0 0 0 0 ...
## $ malignant_lymphoma : num [1:2008] 0 0 0 0 0 0 0 0 0 0 ...
## $ solid_tumor : num [1:2008] 0 0 0 0 0 0 0 0 0 0 ...
## $ liver_disease : num [1:2008] 0 0 0 0 0 0 0 0 0 0 ...
## $ aids : num [1:2008] 0 0 0 0 0 0 0 0 0 0 ...
## $ cci_score : num [1:2008] 2 0 0 2 0 0 1 0 1 1 ...
## $ type_ii_respiratory_failure : Factor w/ 2 levels "NonTypeII","TypeII": 1 1 1 1 1 1 1 1 1 1 ...
## $ consciousness : Factor w/ 4 levels "Clear","Nonresponsive",..: 1 1 1 1 1 1 1 1 1 1 ...
## $ eye_opening : num [1:2008] 4 4 4 4 4 4 4 4 4 4 ...
## $ verbal_response : num [1:2008] 5 5 5 5 5 5 5 5 5 5 ...
## $ movement : num [1:2008] 6 6 6 6 6 6 6 6 6 6 ...
## $ respiratory_support : Factor w/ 3 levels "IMV","NIMV","None": 3 3 3 3 3 3 3 3 3 3 ...
## $ oxygen_inhalation : chr [1:2008] "OxygenTherapy" "OxygenTherapy" "OxygenTherapy" "OxygenTherapy" ...
## $ fio2 : num [1:2008] 33 33 33 33 33 33 33 33 33 33 ...
## $ acute_renal_failure : num [1:2008] 0 0 0 0 0 0 0 0 0 0 ...
## $ lvef : num [1:2008] NA NA NA NA NA NA NA NA NA NA ...
## $ left_ventricular_end_diastolic_diameter_lv : num [1:2008] NA 40 46 NA 64 NA NA NA NA 42 ...
## $ mitral_valve_ems : num [1:2008] NA 1.16 0.84 NA 1.2 NA NA NA NA 1.28 ...
## $ mitral_valve_ams : num [1:2008] NA 1.52 0.12 NA 0.9 NA NA NA NA 0.06 ...
## $ ea : num [1:2008] NA NA 7 NA 1.33 NA NA NA NA 21.3 ...
## $ tricuspid_valve_return_velocity : num [1:2008] NA 3.34 2.8 NA NA NA NA NA NA 2.7 ...
## $ tricuspid_valve_return_pressure : num [1:2008] NA 47 32 NA NA NA NA NA NA 30 ...
## $ outcome_during_hospitalization : Factor w/ 3 levels "Alive","Dead",..: 1 1 1 1 1 1 1 1 1 1 ...
## $ death_within_28_days : num [1:2008] 0 0 0 0 0 0 0 0 0 0 ...
## $ re_admission_within_28_days : num [1:2008] 0 0 0 1 0 1 0 0 0 0 ...
## $ death_within_3_months : num [1:2008] 0 0 0 0 0 0 0 0 0 0 ...
## $ re_admission_within_3_months : num [1:2008] 0 0 0 1 0 1 0 1 0 0 ...
## $ death_within_6_months : num [1:2008] 0 0 0 0 0 0 0 0 0 0 ...
## $ re_admission_within_6_months : num [1:2008] 0 0 0 1 0 1 0 1 0 0 ...
## $ time_of_death_days_from_admission : num [1:2008] NA NA NA NA NA NA NA NA NA NA ...
## $ re_admission_time_days_from_admission : num [1:2008] NA NA NA 19 NA 15 NA 58 NA NA ...
## $ return_to_emergency_department_within_6_months : num [1:2008] 0 0 0 1 0 1 0 1 0 1 ...
## $ time_to_emergency_department_within_6_months : num [1:2008] NA NA NA 19 NA 15 NA 58 NA NA ...
## $ creatinine_enzymatic_method : num [1:2008] 108.3 62 185.1 104.8 83.9 ...
## $ urea : num [1:2008] 12.55 4.29 15.99 8.16 6.86 ...
## $ uric_acid : num [1:2008] 685 170 567 635 432 717 392 544 454 338 ...
## $ glomerular_filtration_rate : num [1:2008] 58.6 85.4 31.5 58 60.5 ...
## $ cystatin : num [1:2008] 1.32 1.25 2.43 2.32 1.35 4.78 4.28 1.66 2.07 1.13 ...
## $ white_blood_cell : num [1:2008] 9.43 5.32 13.01 2.18 6.14 ...
## $ monocyte_ratio : num [1:2008] 0.085 0.066 0.051 0.087 0.086 0.066 0.075 0.082 0.052 0.06 ...
## $ monocyte_count : num [1:2008] 0.8 0.35 0.67 0.19 0.53 0.71 0.55 0.6 0.22 0.4 ...
## $ red_blood_cell : num [1:2008] 4.09 3.93 4.43 2.71 4.2 3.44 3.35 3.92 4.11 4.07 ...
## $ coefficient_of_variation_of_red_blood_cell_distribution_width: num [1:2008] 15 13 12.9 18.8 14.7 14.6 14.1 14.3 14.5 13.8 ...
## $ standard_deviation_of_red_blood_cell_distribution_width : num [1:2008] 50.3 40.7 44.5 69 47.7 44.3 55.6 52.5 46.6 46.6 ...
## $ mean_corpuscular_volume : num [1:2008] 94.5 88.6 96.4 102.2 90 ...
## $ hematocrit : num [1:2008] 0.387 0.349 0.427 0.277 0.378 0.293 0.378 0.399 0.368 0.377 ...
## $ lymphocyte_count : num [1:2008] 1.51 1.18 0.75 0.71 1.27 0.6 1.28 1.35 0.24 0.95 ...
## $ mean_hemoglobin_volume : num [1:2008] 32 28.9 32.6 34.7 28.6 29.1 35 33.8 29.3 30.5 ...
## $ mean_hemoglobin_concentration : num [1:2008] 338 326 339 339 317 342 310 332 326 329 ...
## $ mean_platelet_volume : num [1:2008] 14 11.3 12 12.4 12.6 10 12.7 11.9 13.1 14.2 ...
## $ basophil_ratio : num [1:2008] 0.006 0.002 0.002 0 0.002 0.003 0.002 0.003 0.004 0.001 ...
## $ basophil_count : num [1:2008] 0.05 0.01 0.03 0 0.01 0.03 0.02 0.02 0.02 0.01 ...
## $ eosinophil_ratio : num [1:2008] 0.002 0.009 0.002 0.028 0.008 0.003 0.034 0.012 0.008 0.002 ...
## $ eosinophil_count : num [1:2008] 0.02 0.05 0.02 0.06 0.05 0.03 0.25 0.09 0.03 0.02 ...
## $ hemoglobin : num [1:2008] 131 114 144 94 120 100 117 132 120 124 ...
## $ platelet : num [1:2008] 102 123 169 35 104 189 83 116 117 144 ...
## $ platelet_distribution_width : num [1:2008] 16.6 16.1 16.5 19.4 16.4 16.2 17.2 16.3 16.8 16.6 ...
## $ platelet_hematocrit : num [1:2008] 0.142 0.139 0.203 0.032 0.131 0.188 0.106 0.138 0.154 0.205 ...
## $ neutrophil_ratio : num [1:2008] 0.746 0.702 0.887 0.559 0.697 0.873 0.716 0.719 0.88 0.793 ...
## $ neutrophil_count : num [1:2008] 7.05 3.73 11.54 1.22 4.28 ...
## $ d_dimer : num [1:2008] 1.19 1.06 0.83 1.39 0.57 1.46 5.27 0.66 0.76 0.68 ...
## $ international_normalized_ratio : num [1:2008] 1.39 1.16 1.1 1.37 1.19 1.17 1.25 1.29 1.05 1.23 ...
## $ activated_partial_thromboplastin_time : num [1:2008] 33.4 35.9 36.2 38.3 34.6 36 28.6 34.1 33.4 27.4 ...
## $ thrombin_time : num [1:2008] 17 18.4 14.9 18.3 16.4 14.6 17.6 17.1 14.8 17.4 ...
## $ prothrombin_activity : num [1:2008] 60.3 65.1 85.7 60.9 74.9 76.6 69.3 55.7 91.7 70.8 ...
## $ prothrombin_time_ratio : num [1:2008] 1.37 1.18 1.09 1.36 1.19 1.17 1.25 1.33 1.05 1.23 ...
## $ fibrinogen : num [1:2008] 3.84 2.62 5.74 2.63 3.5 5.31 3.16 2.51 2.66 2.48 ...
## [list output truncated]
## - attr(*, "spec")=
## .. cols(
## .. ...1 = col_double(),
## .. inpatient.number = col_double(),
## .. DestinationDischarge = col_character(),
## .. admission.ward = col_character(),
## .. admission.way = col_character(),
## .. occupation = col_character(),
## .. discharge.department = col_character(),
## .. visit.times = col_double(),
## .. gender = col_character(),
## .. body.temperature = col_double(),
## .. pulse = col_double(),
## .. respiration = col_double(),
## .. systolic.blood.pressure = col_double(),
## .. diastolic.blood.pressure = col_double(),
## .. map = col_double(),
## .. weight = col_double(),
## .. height = col_double(),
## .. BMI = col_double(),
## .. type.of.heart.failure = col_character(),
## .. NYHA.cardiac.function.classification = col_character(),
## .. Killip.grade = col_character(),
## .. myocardial.infarction = col_double(),
## .. congestive.heart.failure = col_double(),
## .. peripheral.vascular.disease = col_double(),
## .. cerebrovascular.disease = col_double(),
## .. dementia = col_double(),
## .. Chronic.obstructive.pulmonary.disease = col_double(),
## .. connective.tissue.disease = col_double(),
## .. peptic.ulcer.disease = col_double(),
## .. diabetes = col_double(),
## .. moderate.to.severe.chronic.kidney.disease = col_double(),
## .. hemiplegia = col_double(),
## .. leukemia = col_double(),
## .. malignant.lymphoma = col_double(),
## .. solid.tumor = col_double(),
## .. liver.disease = col_double(),
## .. AIDS = col_double(),
## .. CCI.score = col_double(),
## .. type.II.respiratory.failure = col_character(),
## .. consciousness = col_character(),
## .. eye.opening = col_double(),
## .. verbal.response = col_double(),
## .. movement = col_double(),
## .. respiratory.support. = col_character(),
## .. oxygen.inhalation = col_character(),
## .. fio2 = col_double(),
## .. acute.renal.failure = col_double(),
## .. LVEF = col_double(),
## .. left.ventricular.end.diastolic.diameter.LV = col_double(),
## .. mitral.valve.EMS = col_double(),
## .. mitral.valve.AMS = col_double(),
## .. EA = col_double(),
## .. tricuspid.valve.return.velocity = col_double(),
## .. tricuspid.valve.return.pressure = col_double(),
## .. outcome.during.hospitalization = col_character(),
## .. death.within.28.days = col_double(),
## .. re.admission.within.28.days = col_double(),
## .. death.within.3.months = col_double(),
## .. re.admission.within.3.months = col_double(),
## .. death.within.6.months = col_double(),
## .. re.admission.within.6.months = col_double(),
## .. time.of.death..days.from.admission. = col_double(),
## .. re.admission.time..days.from.admission. = col_double(),
## .. return.to.emergency.department.within.6.months = col_double(),
## .. time.to.emergency.department.within.6.months = col_double(),
## .. creatinine.enzymatic.method = col_double(),
## .. urea = col_double(),
## .. uric.acid = col_double(),
## .. glomerular.filtration.rate = col_double(),
## .. cystatin = col_double(),
## .. white.blood.cell = col_double(),
## .. monocyte.ratio = col_double(),
## .. monocyte.count = col_double(),
## .. red.blood.cell = col_double(),
## .. coefficient.of.variation.of.red.blood.cell.distribution.width = col_double(),
## .. standard.deviation.of.red.blood.cell.distribution.width = col_double(),
## .. mean.corpuscular.volume = col_double(),
## .. hematocrit = col_double(),
## .. lymphocyte.count = col_double(),
## .. mean.hemoglobin.volume = col_double(),
## .. mean.hemoglobin.concentration = col_double(),
## .. mean.platelet.volume = col_double(),
## .. basophil.ratio = col_double(),
## .. basophil.count = col_double(),
## .. eosinophil.ratio = col_double(),
## .. eosinophil.count = col_double(),
## .. hemoglobin = col_double(),
## .. platelet = col_double(),
## .. platelet.distribution.width = col_double(),
## .. platelet.hematocrit = col_double(),
## .. neutrophil.ratio = col_double(),
## .. neutrophil.count = col_double(),
## .. D.dimer = col_double(),
## .. international.normalized.ratio = col_double(),
## .. activated.partial.thromboplastin.time = col_double(),
## .. thrombin.time = col_double(),
## .. prothrombin.activity = col_double(),
## .. prothrombin.time.ratio = col_double(),
## .. fibrinogen = col_double(),
## .. high.sensitivity.troponin = col_double(),
## .. myoglobin = col_double(),
## .. carbon.dioxide.binding.capacity = col_double(),
## .. calcium = col_double(),
## .. potassium = col_double(),
## .. chloride = col_double(),
## .. sodium = col_double(),
## .. Inorganic.Phosphorus = col_double(),
## .. serum.magnesium = col_double(),
## .. creatine.kinase.isoenzyme.to.creatine.kinase = col_double(),
## .. hydroxybutyrate.dehydrogenase.to.lactate.dehydrogenase = col_double(),
## .. hydroxybutyrate.dehydrogenase = col_double(),
## .. glutamic.oxaloacetic.transaminase = col_double(),
## .. creatine.kinase = col_double(),
## .. creatine.kinase.isoenzyme = col_double(),
## .. lactate.dehydrogenase = col_double(),
## .. brain.natriuretic.peptide = col_double(),
## .. high.sensitivity.protein = col_double(),
## .. nucleotidase = col_double(),
## .. fucosidase = col_double(),
## .. albumin = col_double(),
## .. white.globulin.ratio = col_double(),
## .. cholinesterase = col_logical(),
## .. glutamyltranspeptidase = col_double(),
## .. glutamic.pyruvic.transaminase = col_double(),
## .. glutamic.oxaliplatin = col_double(),
## .. indirect.bilirubin = col_double(),
## .. alkaline.phosphatase = col_double(),
## .. globulin = col_double(),
## .. direct.bilirubin = col_double(),
## .. total.bilirubin = col_double(),
## .. total.bile.acid = col_double(),
## .. total.protein = col_double(),
## .. erythrocyte.sedimentation.rate = col_double(),
## .. cholesterol = col_double(),
## .. low.density.lipoprotein.cholesterol = col_double(),
## .. triglyceride = col_double(),
## .. high.density.lipoprotein.cholesterol = col_double(),
## .. homocysteine = col_double(),
## .. apolipoprotein.A = col_double(),
## .. apolipoprotein.B = col_double(),
## .. lipoprotein = col_double(),
## .. pH = col_double(),
## .. standard.residual.base = col_double(),
## .. standard.bicarbonate = col_double(),
## .. partial.pressure.of.carbon.dioxide = col_double(),
## .. total.carbon.dioxide = col_double(),
## .. methemoglobin = col_double(),
## .. hematocrit.blood.gas = col_double(),
## .. reduced.hemoglobin = col_double(),
## .. potassium.ion = col_double(),
## .. chloride.ion = col_double(),
## .. sodium.ion = col_double(),
## .. glucose.blood.gas = col_double(),
## .. lactate = col_double(),
## .. measured.residual.base = col_double(),
## .. measured.bicarbonate = col_double(),
## .. carboxyhemoglobin = col_double(),
## .. body.temperature.blood.gas = col_double(),
## .. oxygen.saturation = col_double(),
## .. partial.oxygen.pressure = col_double(),
## .. oxyhemoglobin = col_double(),
## .. anion.gap = col_double(),
## .. free.calcium = col_double(),
## .. total.hemoglobin = col_double(),
## .. GCS = col_double(),
## .. dischargeDay = col_double(),
## .. ageCat = col_character()
## .. )
## - attr(*, "problems")=<externalptr>2.3.4 Renaming and Re-labeling the age_cat column
2.3.4.1 Review ‘levels’ columns age_cat before processing
## [1] "(21,29]" "(29,39]" "(39,49]" "(49,59]" "(59,69]" "(69,79]" "(79,89]"
## [8] "(89,110]"2.3.4.2 Renaming and Re-labeling the age_cat column
2.3.4.3 Review ‘levels’ age_cat column after processing
## [1] "21-29" "30-39" "40-49" "50-59" "60-69" "70-79" "80-89" "90+"3 Task 2 : Create Individual Plots
3.1 Visualize and display plots
# Age Distribution
p1 <- ggplot(zigong_clean, aes(x = age_cat)) +
geom_bar(fill = "#B9DDF1") +
theme_minimal() +
labs(title = "Age Group Distribution", x = "Age Group", y = "Count")
# Gender Distribution
p2 <- ggplot(zigong_clean, aes(x = gender)) +
geom_bar(fill = "#A5CFE9") +
theme_minimal() +
labs(title = "Gender Distribution", x = "Gender", y = "Count")
# Height Distribution
p3 <- ggplot(zigong_clean, aes(x = height)) +
geom_bar(fill = "#9FCAE6") +
theme_minimal() +
labs(title = "Height Distribution", x = "Height (m)", y = "Count")
# Weight Distribution
p4 <- ggplot(zigong_clean, aes(x = weight)) +
geom_histogram(binwidth = 5, fill = "#8DBBDC") +
theme_minimal() +
labs(title = "Weight Distribution", x = "Weight (kg)", y = "Count")
# BMI Distribution
p5 <- ggplot(zigong_clean, aes(x = bmi)) +
geom_histogram(binwidth = 5, fill = "#78A9CE") +
theme_minimal() +
labs(title = "BMI Distribution", x = "BMI", y = "Count")
# Type of Heart Failure
p6 <- ggplot(zigong_clean, aes(x = type_of_heart_failure)) +
geom_bar(fill = "#699AC2") +
theme_minimal() +
labs(title = "Type of Heart Failure Distribution", x = "Type of Heart Failure", y = "Count")
# Numeric variable 1: High Sensitivity Troponin
p7 <- ggplot(zigong_clean, aes(x = high_sensitivity_troponin)) +
geom_histogram(binwidth = 0.1, fill = "#5F90BE") +
scale_x_log10()+
theme_minimal() +
labs(title = "High Sensitivity Troponin Distribution", x = "HS Troponin", y = "Count")
# Numeric variable 2: Visit times
p8 <- ggplot(zigong_clean, aes(x = visit_times)) +
geom_histogram(binwidth = 5, fill = "#4D7EAB") +
theme_minimal() +
labs(title = "Visit times Distribution", x = "Visit times", y = "Count")
# Numeric variable 3: Systolic blood pressure
p9 <- ggplot(zigong_clean, aes(x = systolic_blood_pressure)) +
geom_histogram(binwidth = 5, fill = "#3F6E9A") +
theme_minimal() +
labs(title = "Systolic BP Distribution", x = "Systolic BP (mmHg)", y = "Count")
# Numeric variable 4: Diastolic blood pressure
p10 <- ggplot(zigong_clean, aes(x = diastolic_blood_pressure)) +
geom_histogram(binwidth = 5, fill = "#2E5B88") +
theme_minimal() +
labs(title = "Diastolic BP Distribution", x = "Diastolic BP (mmHg)", y = "Count")
# Display plots
p1
## Warning in scale_x_log10(): log-10 transformation introduced infinite values.## Warning: Removed 130 rows containing non-finite outside the scale range
## (`stat_bin()`).
3.2 Generate plots above into slides show
3.2.1 Create list column_dict and function to display plots into slides
3.2.1.1 Create column dictionary
# List of col to plot
col_dict <- list(
age_cat = "distribution",
height = "distribution",
weight = "distribution",
bmi = "distribution",
high_sensitivity_troponin = "distribution",
systolic_blood_pressure = "distribution",
diastolic_blood_pressure = "distribution",
type_of_heart_failure = "count",
gender = "count",
visit_times = "count"
)3.2.1.2 Create function to display plots into slides
# Function to create plot
create_plot <- function(data, column, plot_type) {
# Define ID column name
column_id_unique = "inpatient_number"
# The function creates a title with the first letter capitalized
create_title <- function(col_name) {
if (plot_type == "distribution") {
paste("Distribution of", tools::toTitleCase(gsub("_", " ", col_name)))
}
else {
paste("Count of", tools::toTitleCase(gsub("_", " ", col_name)))
}
}
# Define base theme
base_theme <- theme(
plot.title = element_text(face = "bold", hjust = 0.5, size = 12),
axis.title = element_text(size = 8),
axis.text = element_text(size = 6),
legend.title = element_text(size = 8),
legend.text = element_text(size = 6),
legend.key.size = unit(0.5,"cm")
)
if (plot_type == "distribution") {
# Distribution plot for continuous variables
p <- ggplot(data, aes(x = !!sym(column), y = !!sym(column_id_unique))) +
geom_point(fill = "#2C7E41", color ="#2C7E41") +
ggtitle(create_title(column)) +
coord_flip() +
labs(x = tools::toTitleCase(gsub("_", " ", column)),
y = tools::toTitleCase(gsub("_", " ",column_id_unique))) +
theme_minimal() +
base_theme
} else if (plot_type == "count") {
# Bar chart for categorical variables
p <- ggplot(data, aes(x = !!sym(column), fill = !!sym(column))) +
geom_bar() +
geom_text(stat = 'count', aes(label = ..count..), vjust = -0.5) +
scale_fill_paletteer_d("lisa::AlbrenchDurer") +
scale_fill_brewer(palette = "Blues") +
ggtitle(create_title(column)) +
coord_flip() +
labs(x = tools::toTitleCase(gsub("_", " ", column)),
y = "Count",
fill = tools::toTitleCase(gsub("_", " ", column))) +
theme(axis.text.y = element_text(angle = 0)) +
theme_minimal() +
base_theme
}
return(p)
}3.2.2 Display the slides
# Use the function
plot_list <- map(names(col_dict), ~create_plot(zigong_clean, .x, col_dict[[.x]]))## Scale for fill is already present.
## Adding another scale for fill, which will replace the existing scale.
## Scale for fill is already present.
## Adding another scale for fill, which will replace the existing scale.
## Scale for fill is already present.
## Adding another scale for fill, which will replace the existing scale.## [[1]]
##
## [[2]]
##
## [[3]]
##
## [[4]]
##
## [[5]]## Warning: Removed 79 rows containing missing values or values outside the scale range
## (`geom_point()`).
##
## [[6]]
##
## [[7]]
##
## [[8]]## Warning: The dot-dot notation (`..count..`) was deprecated in ggplot2 3.4.0.
## ℹ Please use `after_stat(count)` instead.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.
##
## [[9]]
##
## [[10]]## Warning: The following aesthetics were dropped during statistical transformation: fill.
## ℹ This can happen when ggplot fails to infer the correct grouping structure in
## the data.
## ℹ Did you forget to specify a `group` aesthetic or to convert a numerical
## variable into a factor?## Warning: The following aesthetics were dropped during statistical transformation: fill.
## ℹ This can happen when ggplot fails to infer the correct grouping structure in
## the data.
## ℹ Did you forget to specify a `group` aesthetic or to convert a numerical
## variable into a factor?
# Create a list of charts
# Add margin for subplot grid
margin_grid = theme(plot.margin = unit(c(0.5, 1, 1, 0.5), "cm"))
tg <- textGrob('Health Data Visualisation & Communication', gp = gpar(fontsize = 16, fontface = 'bold'))
sg <- textGrob('Visualization Data of Hospitalized patients with heart failure: integrating electronic healthcare records and external outcome data', gp = gpar(fontsize = 10))
margin_title <- unit(0.5, "line")
# Grid each column plot
grid.arrange(tg, sg,
arrangeGrob(grobs = lapply(plot_list, "+", margin_grid),
ncol = 2),
heights = unit.c(grobHeight(tg) + 1.2*margin_title,
grobHeight(sg) + margin_title,
unit(1,"null")))## Warning: Removed 79 rows containing missing values or values outside the scale range
## (`geom_point()`).## Warning: The following aesthetics were dropped during statistical transformation: fill.
## ℹ This can happen when ggplot fails to infer the correct grouping structure in
## the data.
## ℹ Did you forget to specify a `group` aesthetic or to convert a numerical
## variable into a factor?
## The following aesthetics were dropped during statistical transformation: fill.
## ℹ This can happen when ggplot fails to infer the correct grouping structure in
## the data.
## ℹ Did you forget to specify a `group` aesthetic or to convert a numerical
## variable into a factor?
4 Task 3
4.1 Grouping slides using patchwork lib
For compare and contrast the graphs above, I will group as below: Slide 1: Height, Weight, BMI (Height and Weight will have a positive correlation to BMI) Slide 2: Age, Type of Heart Failure (I want to see if Age have any relation to Type of Heart Failure) Slide 3: Weight, Type of Heart Failure (I want to see if Weight have any relation to Type of Heart Failure) Slide 4: HS Troponin, Type of Heart Failure (I want to see if HS Troponin have any relation to Type of Heart Failure as HS Troponin is a biomarker that is used to detect cardiac injury, including myocardial infartion. Elevated levels of hs-troponin in the blood can indicate damage to the heart muscle. This biomarker is particularly sensitive and can detect even small amounts of cardiac injury ) Slide 5: Type of Heart Failure, Systolic Blood Pressure, Diastolic Blood Pressure (Blood pressure levels can influence the development, progression, and outcomes of heart failure)
#Combine plots into slide
slide1 <- p3 + p4 + p5 + plot_layout(ncol =3)
slide2 <- p1 + p6 + p8 + plot_layout(ncol =3)
slide3 <- p4 + p6 + plot_layout(ncol =2)
slide4 <- p6 + p7 + plot_layout(ncol =2)
slide5 <- p6 + p9 + p10 + plot_layout(ncol =3)
# Display slides
slide1
## Warning in scale_x_log10(): log-10 transformation introduced infinite values.## Warning: Removed 130 rows containing non-finite outside the scale range
## (`stat_bin()`).
4.1.1 Exporting Plots to PDF slides for Presentation
ggsave("slide1.pdf", slide1, width = 10, height = 5)
ggsave("slide2.pdf", slide2, width = 10, height = 5)
ggsave("slide3.pdf", slide3, width = 10, height = 5)
ggsave("slide4.pdf", slide4, width = 10, height = 5)## Warning in scale_x_log10(): log-10 transformation introduced infinite values.## Warning: Removed 130 rows containing non-finite outside the scale range
## (`stat_bin()`).4.2 Using ggplot2 facetting
# Ensure the 'age' column is numeric
zigong_clean <- zigong_clean %>%
mutate(age_cat = as.numeric(age_cat))
# Filter out non-finite values for the each plot
zigong_clean_age <- zigong_clean %>%
filter(is.finite(age_cat))
zigong_clean_bmi <- zigong_clean %>%
filter(is.finite(bmi))
zigong_clean_hs_troponin <- zigong_clean %>%
filter(is.finite(high_sensitivity_troponin))
zigong_clean_systolic_bp <- zigong_clean %>%
filter(is.finite(systolic_blood_pressure))
zigong_clean_diastolic_bp <- zigong_clean %>%
filter(is.finite(diastolic_blood_pressure))4.2.1 Age Distribution by Type of Heart Failure
# Viz the plot
slide2_1 <- ggplot(zigong_clean_age, aes(x = age_cat)) +
geom_histogram(binwidth = 5, fill = "#81B1D6") +
theme_minimal() +
labs(title = "Age Distribution by Type of Heart Failure", x = "Age", y = "Count") +
facet_wrap(~ type_of_heart_failure)
# Display graph
slide2_1
4.2.2 BMI Distribytion by Type of Heart Failure
# Viz the plot
slide2_2 <- ggplot(zigong_clean_bmi, aes(x = bmi)) +
geom_histogram(binwidth = 5, fill = "#5F90BE") +
theme_minimal() +
labs(title = "BMI Distribution by Type of Heart Failure", x = "BMI", y = "Count") +
facet_wrap(~ type_of_heart_failure)
# Display graph
slide2_2
4.2.3 HS Troponin Distribution by Type of Heart Failure
# Viz the plot
slide2_3 <- ggplot(zigong_clean_hs_troponin, aes(x = high_sensitivity_troponin)) +
geom_histogram(binwidth = 5, fill = "#699AC2") +
theme_minimal() +
scale_x_log10() +
labs(title = "HS Troponin Distribution by Type of Heart Failure", x = "HS Troponin", y = "Count") +
facet_wrap(~ type_of_heart_failure)
# Display graph
slide2_3## Warning in scale_x_log10(): log-10 transformation introduced infinite values.## Warning: Removed 51 rows containing non-finite outside the scale range
## (`stat_bin()`).
4.2.4 Systolic BP Distrinution by Type of Heart Failure
# Viz the plot
slide2_4 <- ggplot(zigong_clean_systolic_bp, aes(x = systolic_blood_pressure)) +
geom_histogram(binwidth = 5, fill = "#78A9CE") +
theme_minimal() +
labs(title = "Systolic BP Distribution by Type of Heart Failure", x = "Systolic BP", y = "Count") +
facet_wrap(~ type_of_heart_failure)
# Display graph
slide2_4
4.2.5 Diastolic BP Distribution by Type of Heart Failure
# Viz the plot
slide2_5 <- ggplot(zigong_clean_diastolic_bp, aes(x = diastolic_blood_pressure)) +
geom_histogram(binwidth = 5, fill = "#4D7EAB") +
theme_minimal() +
labs(title = "Diastolic BP Distribution by Type of Heart Failure", x = "Diastolic BP", y = "Count") +
facet_wrap(~ type_of_heart_failure)
# Display graph
slide2_5